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Motor unit firing rate patterns during voluntary muscle force generation: a simulation study
Objective. Muscle force is generated by a combination of motor unit (MU) recruitment and changes in the discharge rate of active MUs. There have been two basic MU recruitment and firing rate paradigms reported in the literature, which describe the control of the MUs during force generation. The firs...
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Published in: | Journal of neural engineering 2014-04, Vol.11 (2), p.026015-9 |
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description | Objective. Muscle force is generated by a combination of motor unit (MU) recruitment and changes in the discharge rate of active MUs. There have been two basic MU recruitment and firing rate paradigms reported in the literature, which describe the control of the MUs during force generation. The first (termed the reverse 'onion skin' profile), exhibits lower firing rates for lower threshold units, with higher firing rates occurring in higher threshold units. The second (termed the 'onion skin' profile), exhibits an inverse arrangement, with lower threshold units reaching higher firing rates. Approach. Using a simulation of the MU activity in a hand muscle, this study examined the force generation capacity and the variability of the muscle force magnitude at different excitation levels of the MU pool under these two different MU control paradigms. We sought to determine which rate recruitment scheme was more efficient for force generation, and which scheme gave rise to the lowest force variability. Main results. We found that the force output of both firing patterns leads to graded force output at low excitation levels, and that the force generation capacity of the two different paradigms diverged around 50% excitation. In the reverse 'onion skin' pattern, at 100% excitation, the force output reached up to 88% of maximum force, whereas for the 'onion skin' pattern, the force output only reached up to 54% of maximum force at 100% excitation. The force variability was lower at the low to moderate force levels under the 'onion skin' paradigm than with the reverse 'onion skin' firing patterns, but this effect was reversed at high force levels. Significance. This study captures the influence of MU recruitment and firing rate organization on muscle force properties, and our results suggest that the different firing organizations can be beneficial at different levels of voluntary muscle force generation and perhaps for different tasks. |
doi_str_mv | 10.1088/1741-2560/11/2/026015 |
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Muscle force is generated by a combination of motor unit (MU) recruitment and changes in the discharge rate of active MUs. There have been two basic MU recruitment and firing rate paradigms reported in the literature, which describe the control of the MUs during force generation. The first (termed the reverse 'onion skin' profile), exhibits lower firing rates for lower threshold units, with higher firing rates occurring in higher threshold units. The second (termed the 'onion skin' profile), exhibits an inverse arrangement, with lower threshold units reaching higher firing rates. Approach. Using a simulation of the MU activity in a hand muscle, this study examined the force generation capacity and the variability of the muscle force magnitude at different excitation levels of the MU pool under these two different MU control paradigms. We sought to determine which rate recruitment scheme was more efficient for force generation, and which scheme gave rise to the lowest force variability. Main results. We found that the force output of both firing patterns leads to graded force output at low excitation levels, and that the force generation capacity of the two different paradigms diverged around 50% excitation. In the reverse 'onion skin' pattern, at 100% excitation, the force output reached up to 88% of maximum force, whereas for the 'onion skin' pattern, the force output only reached up to 54% of maximum force at 100% excitation. The force variability was lower at the low to moderate force levels under the 'onion skin' paradigm than with the reverse 'onion skin' firing patterns, but this effect was reversed at high force levels. Significance. This study captures the influence of MU recruitment and firing rate organization on muscle force properties, and our results suggest that the different firing organizations can be beneficial at different levels of voluntary muscle force generation and perhaps for different tasks.</description><identifier>ISSN: 1741-2560</identifier><identifier>EISSN: 1741-2552</identifier><identifier>DOI: 10.1088/1741-2560/11/2/026015</identifier><identifier>PMID: 24658323</identifier><identifier>CODEN: JNEIEZ</identifier><language>eng</language><publisher>England: IOP Publishing</publisher><subject>Action Potentials - physiology ; discharge rate ; Electromyography - methods ; Firing ; Humans ; Inverse ; Models, Biological ; motor unit ; Motors ; Muscle Contraction - physiology ; muscle force ; Muscle, Skeletal - physiology ; Muscles ; Organizations ; Recruitment ; Recruitment, Neurophysiological - physiology ; Simulation ; Thresholds</subject><ispartof>Journal of neural engineering, 2014-04, Vol.11 (2), p.026015-9</ispartof><rights>2014 IOP Publishing Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c515t-661ebd9efa45030041ed56f906a4c5d48b072755800f5afef7bd197d1512efb53</citedby><cites>FETCH-LOGICAL-c515t-661ebd9efa45030041ed56f906a4c5d48b072755800f5afef7bd197d1512efb53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24658323$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Xiaogang</creatorcontrib><creatorcontrib>Rymer, William Z</creatorcontrib><creatorcontrib>Suresh, Nina L</creatorcontrib><title>Motor unit firing rate patterns during voluntary muscle force generation: a simulation study</title><title>Journal of neural engineering</title><addtitle>JNE</addtitle><addtitle>J. Neural Eng</addtitle><description>Objective. Muscle force is generated by a combination of motor unit (MU) recruitment and changes in the discharge rate of active MUs. There have been two basic MU recruitment and firing rate paradigms reported in the literature, which describe the control of the MUs during force generation. The first (termed the reverse 'onion skin' profile), exhibits lower firing rates for lower threshold units, with higher firing rates occurring in higher threshold units. The second (termed the 'onion skin' profile), exhibits an inverse arrangement, with lower threshold units reaching higher firing rates. Approach. Using a simulation of the MU activity in a hand muscle, this study examined the force generation capacity and the variability of the muscle force magnitude at different excitation levels of the MU pool under these two different MU control paradigms. We sought to determine which rate recruitment scheme was more efficient for force generation, and which scheme gave rise to the lowest force variability. Main results. We found that the force output of both firing patterns leads to graded force output at low excitation levels, and that the force generation capacity of the two different paradigms diverged around 50% excitation. In the reverse 'onion skin' pattern, at 100% excitation, the force output reached up to 88% of maximum force, whereas for the 'onion skin' pattern, the force output only reached up to 54% of maximum force at 100% excitation. The force variability was lower at the low to moderate force levels under the 'onion skin' paradigm than with the reverse 'onion skin' firing patterns, but this effect was reversed at high force levels. Significance. This study captures the influence of MU recruitment and firing rate organization on muscle force properties, and our results suggest that the different firing organizations can be beneficial at different levels of voluntary muscle force generation and perhaps for different tasks.</description><subject>Action Potentials - physiology</subject><subject>discharge rate</subject><subject>Electromyography - methods</subject><subject>Firing</subject><subject>Humans</subject><subject>Inverse</subject><subject>Models, Biological</subject><subject>motor unit</subject><subject>Motors</subject><subject>Muscle Contraction - physiology</subject><subject>muscle force</subject><subject>Muscle, Skeletal - physiology</subject><subject>Muscles</subject><subject>Organizations</subject><subject>Recruitment</subject><subject>Recruitment, Neurophysiological - physiology</subject><subject>Simulation</subject><subject>Thresholds</subject><issn>1741-2560</issn><issn>1741-2552</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkUtv1DAQgC1ERUvhJ4B8g8uyM3HGjrmhipfUqpdyQ7KS2K6ySuxgx5X678l2l4oDoqd56JsZaT7G3iB8QGiaLaoaNxVJ2CJuqy1UEpCesbNjn6rnj7mEU_Yy5x2AQKXhBTutakmNqMQZ-3kVl5h4CcPC_ZCGcMtTuzg-t8viUsjclofmXRxLWNp0z6eS-9FxH1Pv-K0LbuWHGD7yludhKuNDxfNS7P0rduLbMbvXx3jOfnz5fHPxbXN5_fX7xafLTU9Iy0ZKdJ3Vzrc1gQCo0VmSXoNs655s3XSgKkXUAHhqvfOqs6iVRcLK-Y7EOXt_2Dun-Ku4vJhpyL0bxza4WLLBhnStpBbqaVRpUWkUEp9GCQUQ1KRXlA5on2LOyXkzp2Fav2UQzF6X2aswexUG12gOuta5t8cTpZucfZz642cF3h2AIc5mF0sK6x_NLri_15jZ-pXEf5D_P_8bCbirqQ</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>Hu, Xiaogang</creator><creator>Rymer, William Z</creator><creator>Suresh, Nina L</creator><general>IOP Publishing</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7QO</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20140401</creationdate><title>Motor unit firing rate patterns during voluntary muscle force generation: a simulation study</title><author>Hu, Xiaogang ; Rymer, William Z ; Suresh, Nina L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c515t-661ebd9efa45030041ed56f906a4c5d48b072755800f5afef7bd197d1512efb53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Action Potentials - physiology</topic><topic>discharge rate</topic><topic>Electromyography - methods</topic><topic>Firing</topic><topic>Humans</topic><topic>Inverse</topic><topic>Models, Biological</topic><topic>motor unit</topic><topic>Motors</topic><topic>Muscle Contraction - physiology</topic><topic>muscle force</topic><topic>Muscle, Skeletal - physiology</topic><topic>Muscles</topic><topic>Organizations</topic><topic>Recruitment</topic><topic>Recruitment, Neurophysiological - physiology</topic><topic>Simulation</topic><topic>Thresholds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Xiaogang</creatorcontrib><creatorcontrib>Rymer, William Z</creatorcontrib><creatorcontrib>Suresh, Nina L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology Research Abstracts</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Journal of neural engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Xiaogang</au><au>Rymer, William Z</au><au>Suresh, Nina L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Motor unit firing rate patterns during voluntary muscle force generation: a simulation study</atitle><jtitle>Journal of neural engineering</jtitle><stitle>JNE</stitle><addtitle>J. Neural Eng</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>11</volume><issue>2</issue><spage>026015</spage><epage>9</epage><pages>026015-9</pages><issn>1741-2560</issn><eissn>1741-2552</eissn><coden>JNEIEZ</coden><abstract>Objective. Muscle force is generated by a combination of motor unit (MU) recruitment and changes in the discharge rate of active MUs. There have been two basic MU recruitment and firing rate paradigms reported in the literature, which describe the control of the MUs during force generation. The first (termed the reverse 'onion skin' profile), exhibits lower firing rates for lower threshold units, with higher firing rates occurring in higher threshold units. The second (termed the 'onion skin' profile), exhibits an inverse arrangement, with lower threshold units reaching higher firing rates. Approach. Using a simulation of the MU activity in a hand muscle, this study examined the force generation capacity and the variability of the muscle force magnitude at different excitation levels of the MU pool under these two different MU control paradigms. We sought to determine which rate recruitment scheme was more efficient for force generation, and which scheme gave rise to the lowest force variability. Main results. We found that the force output of both firing patterns leads to graded force output at low excitation levels, and that the force generation capacity of the two different paradigms diverged around 50% excitation. In the reverse 'onion skin' pattern, at 100% excitation, the force output reached up to 88% of maximum force, whereas for the 'onion skin' pattern, the force output only reached up to 54% of maximum force at 100% excitation. The force variability was lower at the low to moderate force levels under the 'onion skin' paradigm than with the reverse 'onion skin' firing patterns, but this effect was reversed at high force levels. Significance. This study captures the influence of MU recruitment and firing rate organization on muscle force properties, and our results suggest that the different firing organizations can be beneficial at different levels of voluntary muscle force generation and perhaps for different tasks.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>24658323</pmid><doi>10.1088/1741-2560/11/2/026015</doi><tpages>9</tpages></addata></record> |
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subjects | Action Potentials - physiology discharge rate Electromyography - methods Firing Humans Inverse Models, Biological motor unit Motors Muscle Contraction - physiology muscle force Muscle, Skeletal - physiology Muscles Organizations Recruitment Recruitment, Neurophysiological - physiology Simulation Thresholds |
title | Motor unit firing rate patterns during voluntary muscle force generation: a simulation study |
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